
Code-as-World: An AI That Turns Videos Into Physics Simulations
Researchers unveil ‘Code-as-World’, an AI agent that converts real video footage into runnable physics simulations, enabling robots to learn from visual data directly.

Researchers unveil ‘Code-as-World’, an AI agent that converts real video footage into runnable physics simulations, enabling robots to learn from visual data directly.

Generalist AI releases GEN-1.5, a robot foundation model that learns new physical tasks from a single 3-12 second demonstration — no fine-tuning, no code, just in-context learning.

Google DeepMind’s Gemini Robotics ER 2 gives robots real-time video understanding, adaptive task planning, and multi-robot coordination — a major step toward physical AI that can work alongside humans.

Google DeepMind’s Gemini Robotics 2 brings whole-body intelligence to robots, unlocking advanced dexterity and teamwork for complex real-world tasks.

Nvidia researchers have developed a framework called ENPIRE that lets AI coding agents from multiple labs train robots to perform complex manipulations overnight, achieving a 99% success rate across tasks.

NVIDIA’s Cosmos 3 is a breakthrough open model for physical AI that reduces training cycles from months to days. A new coalition of robotics leaders will advance open world models.